Firstly, we conduct a baseline experiment by comparing our approach with the original one by Phung et al. [1]}, and the convolutional architecture reported by Khorrami et al. [2]}, due to their good results on CK+, which comprises three convolutional layers with 64, 128, 256 filters, each of which is followed by a max-pooling layer, and on top, two dense layers with 300 and 8 neurons.
